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Type: Organization
Bio: Home for repositories of the MLJ (Machine Learning in Julia) project
Type: Organization
Bio: Home for repositories of the MLJ (Machine Learning in Julia) project
Julia wrapper of the python library CatBoost for boosted decision trees
Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Early stopping criteria for loss-generating iterative algorithms
Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.
A Julia toolbox with resampling methods to correct for class imbalance.
A package for controlling iterative algorithms
A Julia interface for training and applying models in machine learning and statistics
Julia client for MLFlow.
Work in Progress
A Julia machine learning framework
A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ
Core functionality for the MLJ machine learning framework
A template for a Julia package implementing the MLJ model interface
Connecting MLJ and MLFlow
MLJ.jl interface for GLM.jl models
A package for wrapping iterative MLJ models in a control strategy
An implementation of the MLJ model interface for support vector machines provided by LIBSVM.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Lightweight package to interface with MLJ
Home of the MLJ model registry and tools for model queries and mode code loading
Repository implementing MLJ interface for MultivariateStats models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.